Breath Analysis for Medical Applications

Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, General Computing, Health & Well Being, Medical
Cover of the book Breath Analysis for Medical Applications by David Zhang, Dongmin Guo, Ke Yan, Springer Singapore
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Author: David Zhang, Dongmin Guo, Ke Yan ISBN: 9789811043222
Publisher: Springer Singapore Publication: June 23, 2017
Imprint: Springer Language: English
Author: David Zhang, Dongmin Guo, Ke Yan
ISBN: 9789811043222
Publisher: Springer Singapore
Publication: June 23, 2017
Imprint: Springer
Language: English

This book describes breath signal processing technologies and their applications in medical sample classification and diagnosis. First, it provides a comprehensive introduction to breath signal acquisition methods, based on different kinds of chemical sensors, together with the optimized selection and fusion acquisition scheme. It then presents preprocessing techniques, such as drift removing and feature extraction methods, and uses case studies to explore the classification methods. Lastly it discusses promising research directions and potential medical applications of computerized breath diagnosis. It is a valuable interdisciplinary resource for researchers, professionals and postgraduate students working in various fields, including breath diagnosis, signal processing, pattern recognition, and biometrics.

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This book describes breath signal processing technologies and their applications in medical sample classification and diagnosis. First, it provides a comprehensive introduction to breath signal acquisition methods, based on different kinds of chemical sensors, together with the optimized selection and fusion acquisition scheme. It then presents preprocessing techniques, such as drift removing and feature extraction methods, and uses case studies to explore the classification methods. Lastly it discusses promising research directions and potential medical applications of computerized breath diagnosis. It is a valuable interdisciplinary resource for researchers, professionals and postgraduate students working in various fields, including breath diagnosis, signal processing, pattern recognition, and biometrics.

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